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Proceedings Paper

On representations
Author(s): Bo Xu; Liqing Zheng
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Paper Abstract

First, it was pointed out in this paper that there exists a hierarchical organization of entity to be represented by the neural networks. This hierarchical organization leads to four levels of correspondences between the entity, patterns, elements, items, and the units. Then we classified representations further into more detailed categories from two viewpoints. From the correspondence viewpoint, representations can be classified into five categories: (1) local representation, (2) one-to-one DR, (3) one-to-many DR, (4) many-to-one DR, and (5) many- to-many DR. The second viewpoint of classifying representations is according to the locations where the representations exist. From the location viewpoint, representations fall into two classes: internal representation and external representation. Finally, it was pointed out that the origins of the confusion on representations may come from: (1) non-distinction of the hierarchical organization of entity, (2) non-distinction of the four levels of correspondences between the entity, patterns, elements, items, and the units, (3) use of the too general or too broad term distributed representation, (4) non-distinction of the two levels of graceful degradation, and (5) non-distinction of similarities between different representations.

Paper Details

Date Published: 1 July 1992
PDF: 12 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140138
Show Author Affiliations
Bo Xu, Indiana Univ. School of Medicine (United States)
Liqing Zheng, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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